served from IRI/LDEO Climate Data Library
∫dY root mean sq [ NOAA NCDC ERSST version2 SST ] : Sea Surface Temperature data
SST SST Sea Surface Temperature from NOAA NCDC ERSST version2: Improved extended reconstructed global sea surface temperature data based on COADS data.Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) periodic (0) to (2W) by 2.0 N= 180 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (89S) to (89N) by 2.0 N= 90 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -9999
- missing_value
- NaN
- pointwidth
- 0
- units
- 0.0174532925199433 ( degree_Kelvin above 273.15 ) radian north
- history
- Averaged over T[Jan 1854, Dec 2009] minimum 0.0% data present
References
Smith, T.M., and R.W. Reynolds, 2004: Improved Extended Reconstruction of SST [1854-1997]. Journal of Climate, 17, 2466-2477.
Last updated: Wed, 13 Feb 2019 20:27:28 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts
Filters
Here are some filters that are useful for manipulating data. There are actually many more available, but they have to be entered manually. See Ingrid Function Documentation for more information.- Monthly Climatology calculates a monthly climatology by averaging over all years.
- anomalies calculates the difference between the (above) monthly climatology and the original data.
- Integrate along Y X
- Differentiate along Y X
- Take differences along Y X
RMS (root mean square with mean *not* removed) over Y X | Y X |
RMSA (root mean square with mean removed) over Y X | Y X |
Maximum over Y X | Y X |
Minimum over Y X | Y X |
Detrend (best-fit-line) over Y X | Y X |
Note on units